Feature: Radiology-Grade Viewer with Image Annotation
Flywheel has made significant upgrades to our native DICOM viewer to meet the needs of radiologists performing safety reads or participating in blind multi-reader studies. The integrated viewer can now load full studies with a simple click of the button at the project and session level. The new work list interface and radiology-grade tools make loading, reading, and annotating cases fast and easy.
Our ROI and annotation tools allow users to efficiently annotate imaging data sets for applications such as machine learning. ROI labels may be customized to meet project-specific needs and ensure that annotations are consistent and standardized. Qualitative summary forms may be created on any project to capture the results of radiology reads in a structured manner, thereby eliminating the need to use an external spreadsheet or similar approach. All ROIs and qualitative summaries are searchable and easily accessible via Data Views and the Flywheel SDKs for subsequent analysis.
Flywheel is also releasing a new WADO (Web Access to DICOM Object) service that allows you to access imaging data through your viewer of choice or integrate with existing DICOM workflows.
Product Update Series: Data Views UI
Data Views provide Flywheel users the ability to create and share custom views of their Flywheel data and metadata. This feature has long been available via the SDK, and will be soon available in the UI, including an easy-to-use report builder.
The new Data Views UI provides a fast, flexible way to create, view, and export user-defined snapshots of project data and or metadata for analysis, reporting, and export. Data views may be used in many ways. For example, researchers may easily view and analyze their subject cohorts and related metadata attributes, aggregate numerical data generated by gears or other algorithms for use in group analysis, or aggregate data from timepoint exams in a longitudinal study to assess changes over time.
Flywheel captures a great deal of metadata and data from imported data sets, processing results, and user-defined metadata and annotations. The Data Views Builder provides a drag and drop editor to simplify creation of data views from any metadata in the database, and from csv, tsv, and json files managed in Flywheel. Saved data views are presented as reports from the project menu. From there, data may be exported to a variety of formats including csv, tsv, or json for use in external applications. Data views are also accessible via Flywheel SDKs as data frames or tabular structures in Python, R, and MATLAB in order to simplify analysis.
Data views are an important suite of tools that will help researchers get more value from their data and metadata in Flywheel. Flywheel will continue to invest in enhancing data views with additional analytic and visualization tools.
